Instructions to use YL95/naive_chunk0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use YL95/naive_chunk0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("abhishek/llama-2-7b-hf-small-shards") model = PeftModel.from_pretrained(base_model, "YL95/naive_chunk0") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from YL95/naive_chunk0: direct link, hf CLI and curl.
- Browser
- Download file 67.2 MB
-
https://huggingface.co/YL95/naive_chunk0/resolve/main/optimizer.pt
- Command line
-
hf download hf://YL95/naive_chunk0/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/YL95/naive_chunk0/resolve/main/optimizer.pt
67.2 MB
- Xet hash:
- 17177f6e4d3b4e95185c07fc2fefd4be129f672d21e1501879e014cdd9bb9176
- Size of remote file:
- 67.2 MB
- SHA256:
- 6ae00fd09fe0a72f9a9f883c52e0928e43103975a15ba68460c892ddf71af3c0
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